Missio: A Human-Gated AI Agent That Ties Production Errors to Exact Code Commits

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A developer built Missio, an evidence-bound remediation agent, as part of the Agents of SigNoz hackathon, designed to handle production incidents without autonomous guesswork. The system ingests alerts from an allowlisted Slack channel, queries SigNoz observability data to reconstruct the incident, and traces the failure to the precise Git commit running in production at the time. Rather than generating fixes based on assumptions, Missio only proceeds when it can form a verified chain from a live telemetry signal to a specific source file and function. A human must approve any proposed change before the system opens a draft pull request, keeping an operator in the loop at every critical step. A key engineering insight during development was that telemetry ingestion and query availability are not simultaneous, prompting the team to add bounded retry logic and a visible waiting state in the terminal interface.

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